Metadata-Version: 1.1
Name: qante
Version: 0.0.5
Summary: qante - Query ANnotated TExt
Home-page: https://github.com/AsgardSystems/qante.git
Author: Martha L. Escobar-Molano, David A. Barrett
Author-email: qante@asgard.com
License: BSD-3-Clause
Description: qante - Query ANnotated TExt
        ============================
        
        Motivation
        ----------
        
        Extracting the highly-valuable data from unstructured text often
        results in hard-to-read, brittle, difficult-to-maintain code.
        The problem is that using regular expressions directly embedded
        in the program control flow does not provide the best level of
        abstraction. We propose a query language (based on the tuple
        relational calculus) that facilitates data extraction.
        Developers can explicitly express their intent declaratively,
        making their code much easier to write, read, and maintain.
        
        Solution
        --------
        
        This package allows programmers to express what they are searching
        for by using higher-level concepts to express their query as tags,
        locations, and expressions on location relations.
        
        The *location* of a string of characters within the document is
        the interval defining its starting and ending position.
        
        Locations are grouped into sets named by *tags*.  Tags can be
        used in conjunctions and disjunctions of interval relations to
        query for tuples of locations.
        
        Documentation
        -------------
        
        We invite you to view our YouTube `video`_ of our `presentation`_ from the `Playlist`_ 
        for `PyData Global 2022`_.  
        
        We presented this material from our `GitHub`_ repo:
        
        * `pydataG22.pdf`_ slides of our talk.
        * `ipynb/pydata.ipynb`_ a ``jupyter notebook`` with examples.
        * `RELEASE_NOTES.rst` describes updates for each release.
        
        
        Use one of these pip or python commands (rev 3 or above) to install from `PyPI`_::
        
          pip install qante
          python -m pip install qante
        
        
        Use python docstrings for API Documentation::
        
          python    # rev 3 or above
            from quante.tagger import Tagger
            from quante.query import Query
            from quante import loctuple as lt
            from quant.table import get_table
        
            help(Tagger)    # annotate text with tags using tagRE('tagname', regexp)
            help(Query)     # Syntax for querying annotated text
            help(lt)        # Predicates used by queries
            help(get_table) # extract table (as dictionaries) from text
        
        
        See also: "API Documentation" at the end of our jupyter notebook.
        
        
        We welcome your questions by electronic mail at: qante{at}asgard.com
        
        .. _`GitHub`: https://github.com/AsgardSystems/qante
        .. _`PyPI`: https://pypi.org
        .. _`video`: https://www.youtube.com/watch?v=w9UfQ1TKIuE&t=0s
        .. _`presentation`: https://global2022.pydata.org/cfp/talk/LUYPAE/
        .. _`PyData Global 2022`: https://pydata.org/global2022/
        .. _`Playlist`: https://www.youtube.com/playlist?list=PLGVZCDnMOq0qgYUt0yn7F80wmzCnj2dEq
        .. _`pydataG22.pdf`: https://github.com/AsgardSystems/qante/blob/main/pydataG22.pdf
        .. _`RELEASE_NOTES.rst`: https://github.com/AsgardSystems/qante/blob/main/RELEASE_NOTES.rst
        .. _`ipynb/pydata.ipynb`: https://github.com/AsgardSystems/qante/blob/main/ipynb/pydata.ipynb
        
Keywords: text,text processing,search,query,sequences,annotation
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Database
Classifier: Topic :: Internet :: WWW/HTTP :: Indexing/Search
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: General
Classifier: Topic :: Text Processing :: Filters
Classifier: Topic :: Text Processing :: Indexing
